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All Journal Engineering, Mathematics and Computer Science Journal (EMACS) JGGAG (Journal of Games, Game Art, and Gamification)
Majiid, Muhammad Rizki Nur
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Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering Mathematics Other

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Advancing Indonesian Audio Emotion Classification: A Comparative Study Using IndoWaveSentiment Majiid, Muhammad Rizki Nur; Setiawan, Karli Eka; Pamungkas, Prayoga Yudha; Annas, Taufiq; Setiawan, Nicholas Lorenzo
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 7 No. 2 (2025): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v7i2.13415

Abstract

This study addresses the critical gap in Indonesian Speech Emotion Recognition (SER) by evaluating machine learning models on the IndoWaveSentiment dataset, a novel corpus of 300 high-fidelity recordings capturing five emotions (neutral, happy, surprised, disgusted, disappointed) from native speakers. The research aims to identify optimal classification techniques and acoustic features for Indonesian SER, given the language’s unique linguistic characteristics and the scarcity of annotated resources. Six models, Logistic Regression, KNN, Gradient Boosting, Random Forest, Naive Bayes, and SVC, were trained on 45 acoustic features, including spectral contrast, MFCCs, and zero crossing rate, extracted using Librosa. Results demonstrated Random Forest as the top performer (90% accuracy), followed by Gradient Boosting (85%) and Logistic Regression (75%), with spectral contrast (contrast2, contrast7) and MFCC1 emerging as the most discriminative features. The findings highlight the efficacy of ensemble methods in capturing nuanced emotional cues in Indonesian speech, outperforming prior studies on locally sourced datasets. Practical implications include applications in customer service analytics and mental health tools, though limitations such as the dataset’s-controlled conditions and fixed sentence structure necessitate caution in real-world deployment. Future work should expand the dataset to include regional dialects, spontaneous speech, and hybrid architectures like CNN-LSTMs. This study establishes foundational benchmarks for Indonesian SER, advocating for culturally informed models to enhance human-computer interaction in underrepresented linguistic contexts.
Interactive Horror Story and the Narratives Implementation: Case Study on Interactive Story Games Developed by Supermassive Games Pratama, Galih Dea; Junior, Franz Adeta; Handoyo, Alif Tri; Majiid, Muhammad Rizki Nur; Ardiyanto, Elshad Ryan; Purnomo, Fredy
Journal of Games, Game Art, and Gamification Vol. 9 No. 2 (2024)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jggag.v9i2.10998

Abstract

Video game is one of many media designed to provide entertainment to its targeted users. In response to that, narrative that presents story to engage the users in many ways, such as through interactive story that responds to the actions taken by the players during the gameplay. To understand how the narrative is brought in the games, there is analytical framework specifically presented to break down the elements included in the games like storyworld, character, emotion, narrative interface and micro-narrative. In this research, the analytical framework is used to analyze the interactive horror story games developed by Supermassive Games, taking deeper look on the elements brought by each game. There are various implementations on each of the games, from the storyworld resembling numerous popular horror thriller media, presence of multiple playable characters, emergence of emotions like Fear and Anxiety among others, and the existence of micro-narratives to supplement the main story.
Co-Authors Annas, Taufiq Ardiyanto, Elshad Ryan Fredy Purnomo Handoyo, Alif Tri Junior, Franz Adeta Pamungkas, Prayoga Yudha Pratama, Galih Dea Setiawan, Karli Eka Setiawan, Nicholas Lorenzo